Heuristics Study Notes

Staff Led Seminar Topic 1: Heuristics

GPS2014 Temasek POLYTECHNIC

What You Will Learn Today

  • What are Heuristics?

  • System 1 vs. System 2; Bounded Rationality

  • Heuristics & Cognitive Biases

  • Heuristics & Nudging in Behavioral Insights (BI)

  • Theoretical Frameworks

  • Weighted Additive Rule vs. Effort Reduction Model

  • 6 Common Types of Heuristics

    • Affect

    • Availability

    • Anchoring

    • Decoy

    • Default

    • Fluency

Activity Time

  • Discussion on lunchtime decision-making scenario in an unfamiliar area with various food options to choose from.

    • Example Scenario: You have 15 food places and have to decide where to eat under time constraints.

What are Heuristics?

  • Definition: Mental shortcuts that speed up decision-making processes by simplifying the information-processing required when making judgments and choices.

  • Function:

    • Reduce mental load and cognitive effort during decision-making.

    • Allow decision-makers to make quick decisions based on limited information and context.

Dual Systems of Reasoning

System 1

  • Characteristics:

    • Fast

    • Unconscious

    • Automatic

    • Suitable for everyday decisions

    • More prone to errors

System 2

  • Characteristics:

    • Slow

    • Conscious

    • Effortful

    • Involved in complex decision-making

    • More reliable

Bounded Rationality

  • Concept:

    • Bounded Rationality refers to cognitive limitations and constraints due to limited information, time, and processing capabilities in decision-making.

    • Unbounded Rationality: No constraints on time, resources, or information.

    • Bounded Rationality: Cognitive limitations and imperfections in information hinder rational decision-making.

Why Do We Have Heuristics?

  • Heuristics arise from:

    • Insufficient cognitive resources and limited processing capabilities.

    • Overabundance of information in the environment necessitates decision-making shortcuts.

Heuristics & Cognitive Biases

  • Cognitive Biases: Systematic errors that affect judgments and decisions.

  • Relation:

    • Heuristics can lead to cognitive biases by simplifying decision processes but sometimes contribute to incorrect conclusions.

  • Mechanism:

    • Heuristics act as rules of thumb for overcoming processing constraints and involve making assumptions about the decision environment, which can lead to errors.

Heuristics vs Algorithms

  • Algorithms: Defined, step-by-step procedures that guarantee the right solution for a problem.

  • Heuristics: Less structured and do not guarantee optimal results, allowing faster but potentially less accurate decisions.

Heuristics x Nudges

Connection to Behavioral Insights (BI)

  • Nudge Theory: Developed by Richard Thaler and Cass Sunstein, refers to the practice of influencing choices in a predictable way without forbidding any options.

  • Choice Architect: A person responsible for designing environments where individuals make decisions.

  • Neutral Choice Myth: There are no truly neutral choices; small design changes can significantly affect behavior.

Importance of Heuristics for Nudging

  • Understanding how people engage with heuristics (primarily System 1 processing) allows for effective choice architecture design.

  • Well-designed nudges can promote desirable behaviors.

Case Study - KTPH Example

Healthier Menu

  • Introduction of a healthier menu option using brown rice, portion controls, and price adjustments to encourage better choices.

  • Highlighting options with less than 500 calories to guide customers toward health-sustaining habits.

Theoretical Frameworks

Weighted Additive Rule vs. Effort Reduction Framework

  • Weighted Additive Rule:

    • Involves detailed cognitive processes including:

    • Identifying all cues.

    • Recalling and storing cue values.

    • Assessing weight of each cue.

    • Integrating information across alternatives.

    • Comparing all options to select the highest value.

    • Drawbacks: Requires significant mental effort and cognitive resources, impractical under pressure.

  • Effort Reduction Framework:

    • Simplifies decision-making by focusing on fewer cues and less information.

    • Reduces cognitive load while maintaining decision quality.

    • Example of Low-Effort Decision Making: Choosing between meal options by focusing on price rather than all detailed attributes.

6 Common Types of Heuristics

  1. Affect Heuristic:

    • Definition: Decisions based on emotions or feelings about an object/ scenario.

    • Mechanism: Current emotional state influences risk and benefit evaluation.

    • Examples: Emotional responses triggered by narratives or visuals (e.g., fundraising stories).

  2. Anchoring Heuristic:

    • Definition: Initial reference points influence subsequent judgments or decisions, leading to insufficient adjustments away from these anchors.

    • Examples: Pricing strategies in marketing or sales (e.g., initial comparison prices).

  3. Availability Heuristic:

    • Definition: Reliance on immediate examples or information that comes to mind easily to make judgments about frequency or likelihood.

    • Implication: Recent or memorable information tends to be prioritized, potentially skewing perceptions of risks or probabilities.

  4. Decoy Effect:

    • Definition: Introducing a less attractive option that influences preferences between existing choices.

    • Mechanism: The decoy makes the target choice appear more attractive through comparative positioning.

  5. Default Heuristic:

    • Definition: People prefer the default option when given choices, often due to perceived recommendations and cognitive convenience.

    • Implications: Defaults can significantly drive consumer behavior (e.g., organ donation rates influenced by default choices).

  6. Fluency Heuristic:

    • Definition: Familiarity with certain stimuli leads to more positive evaluations and decisions.

    • Mechanism: Highly fluent information is processed faster, leading to preferences over less familiar options.

Are Heuristics Bad?

  • Not necessarily.

  • Benefit: Help overcome cognitive bottlenecks in complex tasks, balancing speed against accuracy when necessary.

  • Trust Factor: Use of heuristics should be monitored based on:

    • Domain expertise and familiarity.

    • Validity and relevance of the environment.

    • Opportunities for learning and feedback over time.

Discussion Questions

  1. Have you personally encountered heuristics in your daily life? Share experiences.

  2. Reflect on whether global designs cater more to System 2 rather than System 1. Discuss potential implications and examples.

Closing Thoughts

  • Understanding heuristics and their implications can enhance decision-making in personal and professional environments. The next steps may involve practical applications of these concepts in day-to-day scenarios.